Genetic Algorithms with Improved Simulated Binary Crossover and Support Vector Regression for Grid Resources Prediction.
Guosheng HuLiang HuQinghai BaiGuangyu ZhaoHongwei LiPublished in: ISNN (2) (2010)
Keyphrases
- support vector regression
- genetic algorithm
- load forecasting
- support vector
- evolutionary algorithm
- genetic programming
- hybrid model
- regression model
- grid environment
- forecasting accuracy
- support vector machine svm
- artificial neural networks
- genetic algorithm ga
- ann models
- support vector classification
- fitness function
- crossover operator
- mutation operator
- kernel function
- neural network
- differential evolution
- simulated annealing
- hybrid genetic
- prediction model
- prediction error
- grid computing
- support vector machine
- singular spectrum analysis
- response surface methodology
- wavelet frame
- machine learning
- short term
- multi objective
- extreme learning machine
- initial population
- autoregressive conditional heteroscedasticity
- decision trees
- feature extraction
- function optimization
- classification accuracy
- artificial immune system
- evolution strategy
- fuzzy logic
- particle swarm optimization
- data sets